Matrix: TSOPF/TSOPF_FS_b39_c30

Description: transient optimal power flow, Full-Space. Guangchao Geng, Zhejiang Univ

TSOPF/TSOPF_FS_b39_c30 graph
(undirected graph drawing)


TSOPF/TSOPF_FS_b39_c30 dmperm of TSOPF/TSOPF_FS_b39_c30
scc of TSOPF/TSOPF_FS_b39_c30

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  • Matrix group: TSOPF
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  • download as a MATLAB mat-file, file size: 7 MB. Use UFget(2228) or UFget('TSOPF/TSOPF_FS_b39_c30') in MATLAB.
  • download in Matrix Market format, file size: 5 MB.
  • download in Rutherford/Boeing format, file size: 3 MB.

    Matrix properties
    number of rows120,216
    number of columns120,216
    nonzeros3,121,160
    structural full rank?yes
    structural rank120,216
    # of blocks from dmperm2
    # strongly connected comp.2
    explicit zero entries0
    nonzero pattern symmetrysymmetric
    numeric value symmetrysymmetric
    typereal
    structuresymmetric
    Cholesky candidate?no
    positive definite?no

    authorG. Geng
    editorT. Davis
    date2009
    kindpower network problem
    2D/3D problem?no

    Additional fieldssize and type
    bsparse 120216-by-1

    Notes:

    Transient stability-constrained optimal power flow (TSOPF) problems from     
    Guangchao Geng, Institute of Power System, College of Electrical Engineering,
    Zhejiang University, Hangzhou, 310027, China.  (genggc AT gmail DOT com).    
    Matrices in the  Full-Space (FS) group are symmetric indefinite, and are best
    solved with MA57.  Matrices in the the Reduced-Space (RS) group are best     
    solved with KLU, which for these matrices can be 10 times faster than UMFPACK
    or SuperLU.                                                                  
    

    Ordering statistics:result
    nnz(chol(P*(A+A'+s*I)*P')) with AMD8,544,565
    Cholesky flop count1.2e+09
    nnz(L+U), no partial pivoting, with AMD16,968,914
    nnz(V) for QR, upper bound nnz(L) for LU, with COLAMD1,170,439,076
    nnz(R) for QR, upper bound nnz(U) for LU, with COLAMD1,932,350,520

    For a description of the statistics displayed above, click here.

    Maintained by Tim Davis, last updated 12-Mar-2014.
    Matrix pictures by cspy, a MATLAB function in the CSparse package.
    Matrix graphs by Yifan Hu, AT&T Labs Visualization Group.